GeoGPT-QA Dataset: A Large-scale Geoscience QA Dataset for Supervised Fine-tuning of LLMs
28
3 commits
1 linked in READMEs
updated Sep 5, 2025
We introduce GeoGPT-QA Dataset, a large-scale synthetic question–answer (QA) corpus developed to support supervised fine-tuning (SFT) of geoscience foundation models.
The dataset is derived from open-access geoscience publications distributed under the CC BY license. Using an automated data synthesis pipeline, we generated professional QA pairs from article titles and abstracts with Qwen2.5-72B-Instruct. In total, the dataset comprises 40,000 QA instances, covering a wide spectrum of subfields within Earth sciences.
Each entry in the GeoGPT-QA Dataset is structured with the following information:
index: unique identifier of the QA item
question: automatically generated geoscience-related question
answer: corresponding synthesized reference answer
title: title of the source publication
authors: list of publication authors
doi: digital object identifier of the source publication
journal: name of the publishing journal
volume: volume number of the source publication
pages: page range of the source publication
license: usage license of the source publication (all is under CC BY)
By leveraging high-quality open-access literature and automated synthesis pipelines, the GeoGPT-QA Dataset provides a scalable, domain-relevant and reliable resource for advancing the development of large language models tailored to geoscience.
The dataset is hosted on the Hugging Face Hub as an CSV file (.csv).
wget or curlwget https://huggingface.co/datasets/GeoGPT-Research-Project/GeoGPT-QA/resolve/main/geogpt-qa.csv
curl -L -o geogpt-qa.csv https://huggingface.co/datasets/GeoGPT-Research-Project/GeoGPT-QA/resolve/main/geogpt-qa.csv
datasets libraryfrom datasets import load_dataset
data = load_dataset("GeoGPT-Research-Project/geogpt-qa")
License:The dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You may share and adapt with attribution, link to the license, and indicate changes. Please note that the dataset was built using Qwen2.5-72B-Instruct, which is licensed under the Qwen LICENSE AGREEMENT. Your use of Qwen2.5-72B-Instruct must comply with its own license terms.
Copyright: Copyright (c) 2025 Zhejiang Lab. All rights reserved.
Intended Use:The dataset is intended for research, development, and educational purposes, with primary applications in supporting supervised fine-tuning of geoscience foundation models and facilitating reproducible research in the geosciences. However, due to its synthetic nature, it may not comprehensively cover all subfields and could contain errors. Therefore, it is not recommended for direct use in high-risk scenarios such as decision-making or policy formulation.
For questions, feedback, or contributions, please open an issue in this repository or contact us at 📧 support.geogpt@zhejianglab.org.
GeoGPT-QA Dataset: A Large-scale Geoscience QA Dataset for Supervised Fine-tuning of LLMs
28
3 commits
1 linked in READMEs
updated Sep 5, 2025
We introduce GeoGPT-QA Dataset, a large-scale synthetic question–answer (QA) corpus developed to support supervised fine-tuning (SFT) of geoscience foundation models.
The dataset is derived from open-access geoscience publications distributed under the CC BY license. Using an automated data synthesis pipeline, we generated professional QA pairs from article titles and abstracts with Qwen2.5-72B-Instruct. In total, the dataset comprises 40,000 QA instances, covering a wide spectrum of subfields within Earth sciences.
Each entry in the GeoGPT-QA Dataset is structured with the following information:
index: unique identifier of the QA item
question: automatically generated geoscience-related question
answer: corresponding synthesized reference answer
title: title of the source publication
authors: list of publication authors
doi: digital object identifier of the source publication
journal: name of the publishing journal
volume: volume number of the source publication
pages: page range of the source publication
license: usage license of the source publication (all is under CC BY)
By leveraging high-quality open-access literature and automated synthesis pipelines, the GeoGPT-QA Dataset provides a scalable, domain-relevant and reliable resource for advancing the development of large language models tailored to geoscience.
The dataset is hosted on the Hugging Face Hub as an CSV file (.csv).
wget or curlwget https://huggingface.co/datasets/GeoGPT-Research-Project/GeoGPT-QA/resolve/main/geogpt-qa.csv
curl -L -o geogpt-qa.csv https://huggingface.co/datasets/GeoGPT-Research-Project/GeoGPT-QA/resolve/main/geogpt-qa.csv
datasets libraryfrom datasets import load_dataset
data = load_dataset("GeoGPT-Research-Project/geogpt-qa")
License:The dataset is released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You may share and adapt with attribution, link to the license, and indicate changes. Please note that the dataset was built using Qwen2.5-72B-Instruct, which is licensed under the Qwen LICENSE AGREEMENT. Your use of Qwen2.5-72B-Instruct must comply with its own license terms.
Copyright: Copyright (c) 2025 Zhejiang Lab. All rights reserved.
Intended Use:The dataset is intended for research, development, and educational purposes, with primary applications in supporting supervised fine-tuning of geoscience foundation models and facilitating reproducible research in the geosciences. However, due to its synthetic nature, it may not comprehensively cover all subfields and could contain errors. Therefore, it is not recommended for direct use in high-risk scenarios such as decision-making or policy formulation.
For questions, feedback, or contributions, please open an issue in this repository or contact us at 📧 support.geogpt@zhejianglab.org.